Frequently Asked Questions About Color

Total Page:16

File Type:pdf, Size:1020Kb

Frequently Asked Questions About Color Frequently Asked Questions about Color Charles A. Poynton This FAQ is intended to clarify aspects of color that are important to color image coding, computer graphics, image processing, video, and the www.inforamp.net/~poynton transfer of digital images to print. [email protected] I assume that you are familiar with intensity, luminance (CIE Y), light- ness (CIE L*), and the nonlinear relationship between CRT voltage and intensity (gamma). To learn more about these topics, please read the companion Frequently Asked Questions about Gamma before starting this. This document is available on the Internet from Toronto at <ftp:// ftp.inforamp.net/pub/users/poynton/doc/colour/ColorFAQ.pdf> I retain copyright to this note. You have permission to use it, but you may not publish it. Table of Contents 1 What is color? 3 2 What is intensity? 3 3 What is luminance? 3 4 What is lightness? 4 5 What is hue? 4 6 What is saturation? 4 7 How is color specified? 4 8 Should I use a color specification system for image data? 5 9 What weighting of red, green and blue corresponds to brightness? 5 10 Can blue be assigned fewer bits than red or green? 6 11 What is “luma”? 6 12 What are CIE XYZ components? 7 13 Does my scanner use the CIE spectral curves? 7 14 What are CIE x and y chromaticity coordinates? 7 15 What is white? 8 16 What is color temperature? 8 17 How can I characterize red, green and blue? 9 1997-03-02 Charles A. Poynton. All rights reserved. 1 of 24 2 Frequently Asked Questions About Colour 18 How do I transform between CIE XYZ and a particular set of RGB primaries? 9 19 Is RGB always device-dependent? 10 20 How do I transform data from one set of RGB primaries to another? 10 21 Should I use RGB or XYZ for image synthesis? 11 22 What is subtractive color? 11 23 Why did my grade three teacher tell me that the primaries are red, yellow and blue? 11 24 Is CMY just one-minus-RGB? 12 25 Why does offset printing use black ink in addition to CMY? 12 26 What are color differences? 13 27 How do I obtain color difference components from tristimulus values? 14 28 How do I encode Y'PBPR components? 14 29 How do I encode Y'CBCR components from R'G'B' in [0, +1]? 15 30 How do I encode Y'CBCR components from computer R'G'B' ? 15 31 How do I encode Y'CBCR components from studio video? 16 32 How do I decode R'G'B' from PhotoYCC? 17 33 Will you tell me how to decode Y'UV and Y'IQ? 17 34 How should I test my encoders and decoders? 17 35 What is perceptual uniformity? 18 36 What are HSB and HLS? 19 37 What is true color? 19 38 What is indexed color? 20 39 I want to visualize a scalar function of two variables. Should I use RGB values corresponding to the colors of the rainbow? 21 40 What is dithering? 21 41 How does halftoning relate to color? 21 42 What’s a color management system? 22 43 How does a CMS know about particular devices? 22 44 Is a color management system useful for color specification? 22 45 I’m not a color expert. What parameters should I use to code my images? 23 46 References 23 47 Contributors 24 2 Frequently Asked Questions About Color 3 1 What is color? Color is the perceptual result of light in the visible region of the spectrum, having wavelengths in the region of 400 nm to 700 nm, incident upon the retina. Physical power (or radiance) is expressed in a spectral power distri- bution (SPD), often in 31 components each representing a 10 nm band. The human retina has three types of color photoreceptor cone cells, which respond to incident radiation with somewhat different spectral response curves. A fourth type of photoreceptor cell, the rod, is also present in the retina. Rods are effective only at extremely low light levels (colloquially, night vision), and although important for vision play no role in image reproduction. Because there are exactly three types of color photoreceptor, three numer- ical components are necessary and sufficient to describe a color, providing that appropriate spectral weighting functions are used. This is the concern of the science of colorimetry. In 1931, the Commission Interna- tionale de L’Éclairage (CIE) adopted standard curves for a hypothetical Standard Observer. These curves specify how an SPD can be transformed into a set of three numbers that specifies a color. The CIE system is immediately and almost universally applicable to self- luminous sources and displays. However the colors produced by reflec- tive systems such as photography, printing or paint are a function not only of the colorants but also of the SPD of the ambient illumination. If your application has a strong dependence upon the spectrum of the illu- minant, you may have to resort to spectral matching. Sir Isaac Newton said, “Indeed rays, properly expressed, are not colored.” SPDs exist in the physical world, but colour exists only in the eye and the brain. Berlin and Kay [1] state that although different languages encode in their vocabularies different numbers of basic color categories, a total universal inventory of exactly eleven basic color categories exists from which the eleven or fewer basic color terms of any given language are always drawn. The eleven basic color categories are WHITE, BLACK, RED, GREEN, YELLOW, BLUE, BROWN, PURPLE, PINK, ORANGE, and GRAY. 2 What is intensity? Intensity is a measure over some interval of the electromagnetic spectrum of the flow of power that is radiated from, or incident on, a surface. Inten- sity is what I call a linear-light measure, expressed in units such as watts per square meter. The voltages presented to a CRT monitor control the intensities of the color components, but in a nonlinear manner. CRT voltages are not proportional to intensity. 3 What is luminance? Brightness is defined by the CIE as the attribute of a visual sensation according to which an area appears to emit more or less light. Because bright- ness perception is very complex, the CIE defined a more tractable quan- tity luminance which is radiant power weighted by a spectral sensitivity function that is characteristic of vision. The luminous efficiency of the Stan- dard Observer is defined numerically, is everywhere positive, and peaks 4 Frequently Asked Questions About Color at about 555 nm. When an SPD is integrated using this curve as a weighting function, the result is CIE luminance, denoted Y. The magnitude of luminance is proportional to physical power. In that sense it is like intensity. But the spectral composition of luminance is related to the brightness sensitivity of human vision. Strictly speaking, luminance should be expressed in a unit such as candelas per meter squared, but in practice it is often normalized to 1 or 100 units with respect to the luminance of a specified or implied white reference. For example, a studio broadcast monitor has a white reference whose luminance is about 80 cd•m-2, and Y = 1 refers to this value. 4 What is lightness? Human vision has a nonlinear perceptual response to brightness: a source having a luminance only 18% of a reference luminance appears about half as bright. The perceptual response to luminance is called Lightness. It is denoted L* and is defined by the CIE as a modified cube root of lumi- nance: 1 Y 3 Y L*=116−< 16; 0. 008856 YnnY Yn is the luminance of the white reference. If you normalize luminance to reference white then you need not compute the fraction. The CIE defini- tion applies a linear segment with a slope of 903.3 near black, for ≤ (Y/Yn) 0.008856. The linear segment is unimportant for practical purposes but if you don’t use it, make sure that you limit L* at zero. L* has a range of 0 to 100, and a “delta L-star” of unity is taken to be roughly the threshold of visibility. Stated differently, lightness perception is roughly logarithmic. An observer can detect an intensity difference between two patches when their intensities differ by more than one about percent. Video systems approximate the lightness response of vision using R’G’B’ signals that are each subject to a 0.45 power function. This is comparable to the 1⁄ 3 power function defined by L*. 5 What is hue? According to the CIE [2], hue is the attribute of a visual sensation according to which an area appears to be similar to one of the perceived colours, red, yellow, green and bue, or a combination of two of them. Roughly speaking, if the dominant wavelength of an SPD shifts, the hue of the associated color will shift. 6 What is saturation? Again from the CIE, saturation is the colourfulness of an area judged in propor- tion to its brightness. Saturation runs from neutral gray through pastel to saturated colors. Roughly speaking, the more an SPD is concentrated at one wavelength, the more saturated will be the associated color. You can desaturate a color by adding light that contains power at all wavelengths. 7 How is color specified? The CIE system defines how to map an SPD to a triple of numerical components that are the mathematical coordinates of color space. Their function is analagous to coordinates on a map. Cartographers have different map projections for different functions: some map projections preserve areas, others show latitudes and longitudes as straight lines.
Recommended publications
  • Color Models
    Color Models Jian Huang CS456 Main Color Spaces • CIE XYZ, xyY • RGB, CMYK • HSV (Munsell, HSL, IHS) • Lab, UVW, YUV, YCrCb, Luv, Differences in Color Spaces • What is the use? For display, editing, computation, compression, …? • Several key (very often conflicting) features may be sought after: – Additive (RGB) or subtractive (CMYK) – Separation of luminance and chromaticity – Equal distance between colors are equally perceivable CIE Standard • CIE: International Commission on Illumination (Comission Internationale de l’Eclairage). • Human perception based standard (1931), established with color matching experiment • Standard observer: a composite of a group of 15 to 20 people CIE Experiment CIE Experiment Result • Three pure light source: R = 700 nm, G = 546 nm, B = 436 nm. CIE Color Space • 3 hypothetical light sources, X, Y, and Z, which yield positive matching curves • Y: roughly corresponds to luminous efficiency characteristic of human eye CIE Color Space CIE xyY Space • Irregular 3D volume shape is difficult to understand • Chromaticity diagram (the same color of the varying intensity, Y, should all end up at the same point) Color Gamut • The range of color representation of a display device RGB (monitors) • The de facto standard The RGB Cube • RGB color space is perceptually non-linear • RGB space is a subset of the colors human can perceive • Con: what is ‘bloody red’ in RGB? CMY(K): printing • Cyan, Magenta, Yellow (Black) – CMY(K) • A subtractive color model dye color absorbs reflects cyan red blue and green magenta green blue and red yellow blue red and green black all none RGB and CMY • Converting between RGB and CMY RGB and CMY HSV • This color model is based on polar coordinates, not Cartesian coordinates.
    [Show full text]
  • Color Appearance Models Today's Topic
    Color Appearance Models Arjun Satish Mitsunobu Sugimoto 1 Today's topic Color Appearance Models CIELAB The Nayatani et al. Model The Hunt Model The RLAB Model 2 1 Terminology recap Color Hue Brightness/Lightness Colorfulness/Chroma Saturation 3 Color Attribute of visual perception consisting of any combination of chromatic and achromatic content. Chromatic name Achromatic name others 4 2 Hue Attribute of a visual sensation according to which an area appears to be similar to one of the perceived colors Often refers red, green, blue, and yellow 5 Brightness Attribute of a visual sensation according to which an area appears to emit more or less light. Absolute level of the perception 6 3 Lightness The brightness of an area judged as a ratio to the brightness of a similarly illuminated area that appears to be white Relative amount of light reflected, or relative brightness normalized for changes in the illumination and view conditions 7 Colorfulness Attribute of a visual sensation according to which the perceived color of an area appears to be more or less chromatic 8 4 Chroma Colorfulness of an area judged as a ratio of the brightness of a similarly illuminated area that appears white Relationship between colorfulness and chroma is similar to relationship between brightness and lightness 9 Saturation Colorfulness of an area judged as a ratio to its brightness Chroma – ratio to white Saturation – ratio to its brightness 10 5 Definition of Color Appearance Model so much description of color such as: wavelength, cone response, tristimulus values, chromaticity coordinates, color spaces, … it is difficult to distinguish them correctly We need a model which makes them straightforward 11 Definition of Color Appearance Model CIE Technical Committee 1-34 (TC1-34) (Comission Internationale de l'Eclairage) They agreed on the following definition: A color appearance model is any model that includes predictors of at least the relative color-appearance attributes of lightness, chroma, and hue.
    [Show full text]
  • ARC Laboratory Handbook. Vol. 5 Colour: Specification and Measurement
    Andrea Urland CONSERVATION OF ARCHITECTURAL HERITAGE, OFARCHITECTURALHERITAGE, CONSERVATION Colour Specification andmeasurement HISTORIC STRUCTURESANDMATERIALS UNESCO ICCROM WHC VOLUME ARC 5 /99 LABORATCOROY HLANODBOUOKR The ICCROM ARC Laboratory Handbook is intended to assist professionals working in the field of conserva- tion of architectural heritage and historic structures. It has been prepared mainly for architects and engineers, but may also be relevant for conservator-restorers or archaeologists. It aims to: - offer an overview of each problem area combined with laboratory practicals and case studies; - describe some of the most widely used practices and illustrate the various approaches to the analysis of materials and their deterioration; - facilitate interdisciplinary teamwork among scientists and other professionals involved in the conservation process. The Handbook has evolved from lecture and laboratory handouts that have been developed for the ICCROM training programmes. It has been devised within the framework of the current courses, principally the International Refresher Course on Conservation of Architectural Heritage and Historic Structures (ARC). The general layout of each volume is as follows: introductory information, explanations of scientific termi- nology, the most common problems met, types of analysis, laboratory tests, case studies and bibliography. The concept behind the Handbook is modular and it has been purposely structured as a series of independent volumes to allow: - authors to periodically update the
    [Show full text]
  • Color Representation
    Generated by Foxit PDF Creator © Foxit Software http://www.foxitsoftware.com For evaluation only. Lecture 3 Color Representation CIEXYZ Color Space CIE Chromaticity Space HSL,HSV,LUV,CIELab Y X Z Generated by Foxit PDF Creator © Foxit Software http://www.foxitsoftware.com For evaluation only. CIEXYZ Color Coordinate System 1931 – The Commission International de l’Eclairage (CIE) Defined a standard system for color representation. The CIE-XYZ Color Coordinate System. In this system, the XYZ Tristimulus values can describe any visible color. The XYZ system is based on the color matching experiments Generated by Foxit PDF Creator © Foxit Software http://www.foxitsoftware.com For evaluation only. Trichromatic Color Theory “tri”=three “chroma”=color Every color can be represented by 3 values. 80 60 e1 40 e2 20 e3 0 400 500 600 700 Wavelength (nm) Space of visible colors is 3 Dimensional. Generated by Foxit PDF Creator © Foxit Software http://www.foxitsoftware.com For evaluation only. Calculating the CIEXYZ Color Coordinate System CIE-RGB 3 r(l) 2 b(l) g(l) 1 Primary Intensity 0 400 500 600 700 Wavelength (nm) David Wright 1928-1929, 1929-1930 & John Guild 1931 17 observers responses to Monochromatic lights between 400- 700nm using viewing field of 2 deg angular subtense. Primaries are monochromatic : 435.8 546.1 700 nm 2 deg field. These were defined as CIE-RGB primaries and CMF. XYZ are a linear transformation away from the observed data. Generated by Foxit PDF Creator © Foxit Software http://www.foxitsoftware.com For evaluation only. CIEXYZ Color Coordinate System CIE Criteria for choosing Primaries X,Y,Z and Color Matching Functions x,y,z.
    [Show full text]
  • Prepared by Dr.P.Sumathi COLOR MODELS
    UNIT V: Colour models and colour applications – properties of light – standard primaries and the chromaticity diagram – xyz colour model – CIE chromaticity diagram – RGB colour model – YIQ, CMY, HSV colour models, conversion between HSV and RGB models, HLS colour model, colour selection and applications. TEXT BOOK 1. Donald Hearn and Pauline Baker, “Computer Graphics”, Prentice Hall of India, 2001. Prepared by Dr.P.Sumathi COLOR MODELS Color Model is a method for explaining the properties or behavior of color within some particular context. No single color model can explain all aspects of color, so we make use of different models to help describe the different perceived characteristics of color. 15-1. PROPERTIES OF LIGHT Light is a narrow frequency band within the electromagnetic system. Other frequency bands within this spectrum are called radio waves, micro waves, infrared waves and x-rays. The below figure shows the frequency ranges for some of the electromagnetic bands. Each frequency value within the visible band corresponds to a distinct color. The electromagnetic spectrum is the range of frequencies (the spectrum) of electromagnetic radiation and their respective wavelengths and photon energies. Spectral colors range from the reds through orange and yellow at the low-frequency end to greens, blues and violet at the high end. Since light is an electromagnetic wave, the various colors are described in terms of either the frequency for the wave length λ of the wave. The wavelength and frequency of the monochromatic wave is inversely proportional to each other, with the proportionality constants as the speed of light C where C = λ f.
    [Show full text]
  • Appendix G: the Pantone “Our Color Wheel” Compared to the Chromaticity Diagram (2016) 1
    Appendix G - 1 Appendix G: The Pantone “Our color Wheel” compared to the Chromaticity Diagram (2016) 1 There is considerable interest in the conversion of Pantone identified color numbers to other numbers within the CIE and ISO Standards. Unfortunately, most of these Standards are not based on any theoretical foundation and have evolved since the late 1920's based on empirical relationships agreed to by committees. As a general rule, these Standards have all assumed that Grassman’s Law of linearity in the visual realm. Unfortunately, this fundamental assumption is not appropriate and has never been confirmed. The visual system of all biological neural systems rely upon logarithmic summing and differencing. A particular goal has been to define precisely the border between colors occurring in the local language and vernacular. An example is the border between yellow and orange. Because of the logarithmic summations used in the neural circuits of the eye and the positions of perceived yellow and orange relative to the photoreceptors of the eye, defining the transition wavelength between these two colors is particularly acute.The perceived response is particularly sensitive to stimulus intensity in the spectral region from 560 to about 580 nanometers. This Appendix relies upon the Chromaticity Diagram (2016) developed within this work. It has previously been described as The New Chromaticity Diagram, or the New Chromaticity Diagram of Research. It is in fact a foundation document that is theoretically supportable and in turn supports a wide variety of less well founded Hering, Munsell, and various RGB and CMYK representations of the human visual spectrum.
    [Show full text]
  • Federal Register/Vol. 67, No. 147/Wednesday, July 31, 2002/Rules and Regulations
    Federal Register / Vol. 67, No. 147 / Wednesday, July 31, 2002 / Rules and Regulations 49569 Further, as the change of address is economy of $100,000,000 or more; a and adding, in their place, the words imminent, and since a delay in the major increase in costs or prices; or ‘‘P.O. Box 27284’’. effective date of this regulation could significant adverse effects on impede the timely receipt of required competition, employment, investment, § 1313.21 [Amended] reports by the regulated industry, DEA productivity, innovation, or on the 6. Section 1313.21(b) and (e) finds there is good cause to make this ability of United States-based introductory text are amended by final rule effective immediately. companies to compete with foreign- removing the words ‘‘P.O. Box 28346’’ based companies in domestic and and adding, in their place, the words Regulatory Flexibility Act export markets. ‘‘P.O. Box 27284’’. The Deputy Assistant Administrator hereby certifies that this rulemaking has Congressional Review Act § 1313.22 [Amended] been drafted in accordance with the The Drug Enforcement 7. Section 1313.22(e) is amended by Regulatory Flexibility Act (5 U.S.C. Administration has determined that this removing the words ‘‘P.O. Box 28346’’ 605(b)), has reviewed this regulation, action is a rule relating to agency and adding, in their place, the words and by approving it certifies that this procedure and practice that does not ‘‘P.O. Box 27284’’. regulation will not have a significant substantially affect the rights or § 1313.31 [Amended] economic impact on a substantial obligations of non-agency parties and, number of small entities.
    [Show full text]
  • Color Appearance Models Second Edition
    Color Appearance Models Second Edition Mark D. Fairchild Munsell Color Science Laboratory Rochester Institute of Technology, USA Color Appearance Models Wiley–IS&T Series in Imaging Science and Technology Series Editor: Michael A. Kriss Formerly of the Eastman Kodak Research Laboratories and the University of Rochester The Reproduction of Colour (6th Edition) R. W. G. Hunt Color Appearance Models (2nd Edition) Mark D. Fairchild Published in Association with the Society for Imaging Science and Technology Color Appearance Models Second Edition Mark D. Fairchild Munsell Color Science Laboratory Rochester Institute of Technology, USA Copyright © 2005 John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England Telephone (+44) 1243 779777 This book was previously publisher by Pearson Education, Inc Email (for orders and customer service enquiries): [email protected] Visit our Home Page on www.wileyeurope.com or www.wiley.com All Rights Reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except under the terms of the Copyright, Designs and Patents Act 1988 or under the terms of a licence issued by the Copyright Licensing Agency Ltd, 90 Tottenham Court Road, London W1T 4LP, UK, without the permission in writing of the Publisher. Requests to the Publisher should be addressed to the Permissions Department, John Wiley & Sons Ltd, The Atrium, Southern Gate, Chichester, West Sussex PO19 8SQ, England, or emailed to [email protected], or faxed to (+44) 1243 770571. This publication is designed to offer Authors the opportunity to publish accurate and authoritative information in regard to the subject matter covered.
    [Show full text]
  • PRECISE COLOR COMMUNICATION COLOR CONTROL from PERCEPTION to INSTRUMENTATION Knowing Color
    PRECISE COLOR COMMUNICATION COLOR CONTROL FROM PERCEPTION TO INSTRUMENTATION Knowing color. Knowing by color. In any environment, color attracts attention. An infinite number of colors surround us in our everyday lives. We all take color pretty much for granted, but it has a wide range of roles in our daily lives: not only does it influence our tastes in food and other purchases, the color of a person’s face can also tell us about that person’s health. Even though colors affect us so much and their importance continues to grow, our knowledge of color and its control is often insufficient, leading to a variety of problems in deciding product color or in business transactions involving color. Since judgement is often performed according to a person’s impression or experience, it is impossible for everyone to visually control color accurately using common, uniform standards. Is there a way in which we can express a given color* accurately, describe that color to another person, and have that person correctly reproduce the color we perceive? How can color communication between all fields of industry and study be performed smoothly? Clearly, we need more information and knowledge about color. *In this booklet, color will be used as referring to the color of an object. Contents PART I Why does an apple look red? ········································································································4 Human beings can perceive specific wavelengths as colors. ························································6 What color is this apple ? ··············································································································8 Two red balls. How would you describe the differences between their colors to someone? ·······0 Hue. Lightness. Saturation. The world of color is a mixture of these three attributes.
    [Show full text]
  • Leeds Thesis Template
    Assessing Colour Differences of Lighting Stimuli Using a Visual Display Maria Georgoula Submitted in accordance with the requirements for the degree of Doctor of Philosophy The University of Leeds School of Design November, 2015 - 2 - The candidate confirms that the work submitted is his/her own, except where work which has formed part of jointly authored publications has been included. The contribution of the candidate and the other authors to this work has been explicitly indicated below. The candidate confirms that appropriate credit has been given within the thesis where reference has been made to the work of others. Parts of this thesis have been published at the CIE 2016 conference paper entitled “Specification for the Chromaticity of White and Coloured Light Sources” authored by Georgoula Maria, Cui Guihua, Pointer R Michael, and Luo M Ronnier. Summary of the experimental procedure from Chapter 3, notable ellipse parameters from Chapter 4, and average performance of colour difference metrics from Chapter 6 were included in the paper. The author, Maria Georgoula, collected all the data, conducted data analysis and wrote the paper. Guihua Cui assisted with the data analysis by providing advice and checking the results. Michael Pointer provided comments and proof reading of the paper. Ronnier Luo defined the initial structure and reviewed the paper. This copy has been supplied on the understanding that it is copyright material and that no quotation from the thesis may be published without proper acknowledgement. The right of Maria Georgoula to be identified as Author of this work has been asserted by her in accordance with the Copyright, Designs and Patents Act 1988.
    [Show full text]
  • Standard Illuminant
    Standard illuminant From Wikipedia, the free encyclopedia A standard illuminant is a profile or spectrum of visible light which is published in order to allow images or colors recorded under different lighting to be compared. Contents 1 CIE illuminants 1.1 Illuminant A 1.2 Illuminants B and C 1.3 Illuminant series D 1.4 Illuminant E Relative spectral power distributions (SPDs) of CIE 1.5 Illuminant series F illuminants A, B, and C from 380nm to 780nm. 2 White point 2.1 White points of standard illuminants 3 References 4 External links CIE illuminants The International Commission on Illumination (usually abbreviated CIE for its French name) is the body responsible for publishing all of the well-known standard illuminants. Each of these is known by a letter or by a letter-number combination. Illuminants A, B, and C were introduced in 1931, with the intention of respectively representing average incandescent light, direct sunlight, and average daylight. Illuminants D represent phases of daylight, Illuminant E is the equal-energy illuminant, while Illuminants F represent fluorescent lamps of various composition. There are instructions on how to experimentally produce light sources ("standard sources") corresponding to the older illuminants. For the relatively newer ones (such as series D), experimenters are left to measure to profiles of their sources and compare them to the published spectra:[1] At present no artificial source is recommended to realize CIE standard illuminant D65 or any other illuminant D of different CCT. It is hoped that new developments in light sources and filters will eventually offer sufficient basis for a CIE recommendation.
    [Show full text]
  • Color Appearance Models Second Edition
    Color Appearance Models Second Edition Mark D. Fairchild Munsell Color Science Laboratoiy Rochester Institute of Technology, USA John Wiley & Sons, Ltd Contents Series Preface xiii Preface XV Introduction xix 1 Human Color Vision 1 1.1 Optics of the Eye 1 1.2 The Retina 6 1.3 Visual Signal Processing 12 1.4 Mechanisms of Color Vision 17 1.5 Spatial and Temporal Properties of Color Vision 26 1.6 Color Vision Deficiencies 30 1.7 Key Features for Color Appearance Modeling 34 2 Psychophysics 35 2.1 Psychophysics Defined 36 2.2 Historical Context 37 2.3 Hierarchy of Scales 40 2.4 Threshold Techniques 42 2.5 Matching Techniques 45 2.6 One-Dimensional Scaling 46 2.7 Multidimensional Scaling 49 2.8 Design of Psychophysical Experiments 50 2.9 Importance in Color Appearance Modeling 52 3 Colorimetry 53 3.1 Basic and Advanced Colorimetry 53 3.2 Whyis Color? 54 3.3 Light Sources and Illuminants 55 3.4 Colored Materials 59 3.5 The Human Visual Response 66 3.6 Tristimulus Values and Color Matching Functions 70 3.7 Chromaticity Diagrams 77 3.8 CIE Color Spaces 78 3.9 Color Difference Specification 80 3.10 The Next Step , 82 viii CONTENTS 4 Color Appearance Terminology 83 4.1 Importance of Definitions 83 4.2 Color 84 4.3 Hue 85 4.4 Brightness and Lightness 86 4.5 Colorfulness and Chroma 87 4.6 Saturation 88 4.7 Unrelated and Related Colors 88 4.8 Definitions in Equations 90 4.9 Brightness-Colorfulness vs Lightness-Chroma 91 5 Color Order Systems 94 5.1 Overvlew and Requirements 94 5.2 The Munsell Book of Color 96 5.3 The Swedish Natural Color System (NCS)
    [Show full text]